Computational Facility

If these tools look like they might be critical to your RNA research, please contact our staff to discuss possible collaborations and computational solutions to help accelerate your analytical research.
RNA Institute Staff
  • Six multi-CPU workstations with NVDIA Tesla GPUs from Dell
  • 600-core xeon HPC Linux cluster with 10TB storage, dedicated for RNA Institute research.
  • Access to the university’s general purpose cluster
  • Christie Mirage 6000 3D projector
  • Computational software for molecular modeling, visualization and simulations including licensed software- Molecular Operating Environment (MOE), PyMOL, Q-Chem, GOLD, Material Studio
  • Access to the Cambridge Structural Database (CSD)
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